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Evaluation of the SMOS-Derived Soil Water Deficit Index as Agricultural Drought Index in Northeast of Brazil

机译:巴西东北部以SMOS得出的土壤水分亏缺指数作为农业干旱指数的评估

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Northeast Brazil (NEB) has recently experienced one of its worst droughts in the last decades, with large losses on rainfed agriculture. Soil moisture is the main variable to monitor agricultural drought. The remote sensing approach for drought monitoring has been enriched with the launch of the Soil Moisture and Ocean Salinity (SMOS) in November 2009 by European Space Agency (ESA). In this work, the Soil Water Deficit Index (SWDI) was calculated using the SMOS L2 soil moisture in the NEB. The SMOS-derived SWDI data (SWDIS) were evaluated against the atmospheric water deficit (AWD) calculated from in situ observations. Comparisons were made at seven-day and 0.25° scales, over the time-span of June 2010 to December 2013. It was found that the SWDIS has a reasonably good overall performance in terms of the drought-weeks detection (skill = 0.986) and capture of the upper soil moisture temporal dynamic ( r = 0.652), implying that the SWDIS could be used to track agricultural droughts. Furthermore, SWDIS shows poor performance at sites located in mountains regions affected by severe droughts (?0.10 ≤ r ≤ 0.10). It is also noted that the vegetal cover/use, climate regime, and soil texture have little influence on the AWD-SWDIS coupling.
机译:巴西东北部(NEB)最近经历了过去几十年来最严重的干旱之一,雨养农业损失惨重。土壤水分是监测农业干旱的主要变量。 2009年11月,欧洲航天局(ESA)推出了土壤湿度和海洋盐度(SMOS),从而丰富了干旱监测的遥感方法。在这项工作中,使用NEB中的SMOS L2土壤湿度计算了土壤缺水指数(SWDI)。 SMOS衍生的SWDI数据(SWDIS)相对于根据现场观测计算得出的大气缺水量(AWD)进行了评估。在2010年6月至2013年12月的时间范围内,以7天和0.25°的比例进行了比较。发现SWDIS在干旱周检测方面(技能= 0.986)和捕获上部土壤水分的时间动态(r = 0.652),这表明SWDIS可用于追踪农业干旱。此外,SWDIS显示在受严重干旱影响的山区地区的性能较差(?0.10≤r≤0.10)。还应注意的是,植被覆盖/用途,气候状况和土壤质地对AWD-SWDIS耦合几乎没有影响。

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